{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Black-box maximisation with `BayesOptimization`\n",
    "\n",
    "In this notebook we show how to use our codebase (notably the class `BayesOptimisation`) to apply Bayesian optimisation, using various techniques to tackle batch-acquisition function maximisation. To do so, we consider a toy black-box maximisation problem (`Ackley` function in $16$ dimensions), and run BO with different methods (ERM, FSM, compositional) to solve BO's inner problem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import numpy as np\n",
    "import os, glob\n",
    "#import seaborn as sns\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from IPython.display import set_matplotlib_formats, clear_output\n",
    "set_matplotlib_formats('retina')\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "plt.rcParams['figure.figsize'] = (12.0, 7.0)\n",
    "\n",
    "from typing import *\n",
    "from tqdm import tqdm\n",
    "import torch\n",
    "from torch import Tensor\n",
    "import sys, os, shutil\n",
    "\n",
    "ROOT_PROJECT =  os.path.join(os.path.normpath(os.path.join(os.getcwd(), \"../\"))) \n",
    "sys.path[0] = ROOT_PROJECT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from core.utils.utils_query import query_optimizer, query_test_func\n",
    "from utils.utils_plot import plot_mean_std\n",
    "from core.params_helper import ParamSpace\n",
    "from core.bayes_opt import BayesOptimization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### PyTorch setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cuda = 1\n",
    "\n",
    "tkwargs = {\n",
    "        \"dtype\": torch.double,\n",
    "        \"device\": torch.device(f\"cuda:{cuda}\" if torch.cuda.is_available() and cuda is not None else \"cpu\"),\n",
    "    }\n",
    "if torch.cuda.is_available() and cuda is not None:\n",
    "    torch.cuda.set_device(tkwargs['device'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Get toy black-box Ackley function in 16D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_func = 'Ackley'\n",
    "input_dim = 16\n",
    "negate = True  # we maximise -f\n",
    "\n",
    "testfunc = query_test_func(test_func, input_dim, negate).to(**tkwargs)\n",
    "optimal_value = testfunc.optimal_value\n",
    "\n",
    "bounds: Tensor = testfunc.bounds  # shape (2, d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Specify search space through `ParamSpace` instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Hyper-rectangle search space\n",
    "search_bounds = [\n",
    "    {'name': f'x_{i}', 'type': 'continuous', 'domain': (bounds[0, i].item(), bounds[1, i].item())} for i in\n",
    "    range(input_dim)\n",
    "]\n",
    "\n",
    "# List of transformations to apply to the search domain for BO search (could consider log-domain\n",
    "# or any bijective transformation, but here there is no modification needed)\n",
    "search_real_transfo = [\n",
    "    {f'x_{i}': lambda w: w} for i in range(input_dim)\n",
    "]\n",
    "\n",
    "params_h = ParamSpace(search_bounds, search_real_transfo)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### BO configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Number of initial points\n",
    "num_initial =  2 * input_dim\n",
    "\n",
    "# See arguments Docstrings of `core.bayes_opt.BayesOptimization` class for further details on BO setup\n",
    "bo_kwargs = dict(\n",
    "    params_h=params_h,\n",
    "    negate = False,\n",
    "    noise_free = True,\n",
    "    covar = 'matern-5/2',\n",
    "    covar_kw = {},\n",
    "    initial_design_numdata = num_initial,\n",
    "    num_MC_samples_acq = 128,\n",
    "    num_raw_samples = 500,\n",
    "    num_starts = 32,\n",
    "    num_opt_steps = 128,\n",
    "    device=cuda\n",
    ")\n",
    "\n",
    "# Choose acquisition function\n",
    "acq_func = 'qUpperConfidenceBound' \n",
    "acq_func_kwargs = {'beta': 2}\n",
    "\n",
    "q = 16               # Number of points acquired at each acquisition step\n",
    "num_acq_steps = 15  # Number of acquisition steps\n",
    "\n",
    "n_trials = 5        # Number of repetition of the experiment\n",
    "\n",
    "opt_regrets = {}    # Dictionary mapping optimiser to regrets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Generic function to run BO experiment "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bo_exp(n_trials, **bo_kwargs):\n",
    "    \"\"\" Run BO experiment with specified configuration for `n_trials` different seeds. \n",
    "        Return the induce immediate regrets.\n",
    "    \"\"\"\n",
    "    regrets = []\n",
    "    for seed in range(n_trials):\n",
    "        print(f'BO with seed: {seed}')\n",
    "        best_values: List[float] = []  # store best values observed after each acquisition step\n",
    "        bo = BayesOptimization(**bo_kwargs, seed=seed)\n",
    "\n",
    "        # initial random points:\n",
    "        Xs: List[Dict[str, float]] = bo.gen(num_initial)\n",
    "        # evaluate initial points\n",
    "        X_to_eval: Tensor = torch.tensor(np.array([params_h.get_list_params_from_dict(X) for X in Xs])).to(**tkwargs)\n",
    "        # Add them to the observed dataset of `bo` instance\n",
    "        bo.observe(Xs, testfunc(X_to_eval))\n",
    "\n",
    "        best_values.append(bo.data_Y.max().item())  # contains best value observed after initialisation\n",
    "\n",
    "        for acq_step in range(num_acq_steps):\n",
    "            # Generate points by maximising the acquisition function \n",
    "            Xs: List[Dict[str, float]] = bo.gen(q)\n",
    "            \n",
    "            # Evaluate suggested points\n",
    "            X_to_eval: Tensor = torch.tensor(np.array([params_h.get_list_params_from_dict(X) for X in Xs]))\n",
    "            new_values = testfunc(X_to_eval)\n",
    "            \n",
    "            # Observe the new input-output data\n",
    "            bo.observe(Xs, new_values)\n",
    "            \n",
    "            best_values.append(max(best_values[-1], new_values.max().item()))\n",
    "\n",
    "        regrets.append(optimal_value - np.array(best_values))\n",
    "    return np.array(regrets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Acquisition function maximisation techniques\n",
    "BO's inner problem can be tackled with various optimisation techniques that can be easily specified by the user as shown below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Optimise UCB via Random Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BO with seed: 0\n",
      "BO with seed: 1\n",
      "BO with seed: 2\n",
      "BO with seed: 3\n",
      "BO with seed: 4\n"
     ]
    }
   ],
   "source": [
    "optimizer_name = 'RandomSearch'\n",
    "\n",
    "bo_extra_kw = dict(\n",
    "    optimizer=optimizer_name,\n",
    "    acq_func=acq_func,\n",
    "    acq_func_kwargs=acq_func_kwargs\n",
    ")\n",
    "\n",
    "opt_regrets[optimizer_name] = bo_exp(n_trials, **bo_extra_kw, **bo_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Optimise UCB using `Adam` optimiser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BO with seed: 0\n",
      "BO with seed: 1\n",
      "BO with seed: 2\n",
      "BO with seed: 3\n",
      "BO with seed: 4\n"
     ]
    }
   ],
   "source": [
    "optimizer_name = 'Adam'\n",
    "bo_extra_kw = dict(\n",
    "    optimizer=optimizer_name,\n",
    "    optimizer_kwargs={'lr':0.12},\n",
    "    acq_func=acq_func,\n",
    "    acq_func_kwargs=acq_func_kwargs\n",
    ")\n",
    "\n",
    "opt_regrets[optimizer_name] = bo_exp(n_trials, **bo_extra_kw, **bo_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Optimise UCB in **Finite-Sum** form using `Adagrad` optimiser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BO with seed: 0\n",
      "BO with seed: 1\n",
      "BO with seed: 2\n",
      "BO with seed: 3\n",
      "BO with seed: 4\n"
     ]
    }
   ],
   "source": [
    "optimizer_name = 'Adam'\n",
    "\n",
    "bo_extra_kw = dict(\n",
    "    optimizer = optimizer_name,\n",
    "    optimizer_kwargs = {'lr':0.3},\n",
    "    acq_func='qFiniteSum' + acq_func[1:],\n",
    "    acq_func_kwargs=acq_func_kwargs,\n",
    "    scheduler='ExponentialLR',  # can use a scheduler for the learning rate     \n",
    "    scheduler_kwargs={'gamma':.68}\n",
    ")\n",
    "\n",
    "opt_regrets['FS-' + optimizer_name] = bo_exp(n_trials, **bo_extra_kw, **bo_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Optimise UCB in **compositional form** using `CAdam` optimiser (Memory-Efficient version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BO with seed: 0\n",
      "Memory efficient setup\n",
      "BO with seed: 1\n",
      "Memory efficient setup\n",
      "BO with seed: 2\n",
      "Memory efficient setup\n",
      "BO with seed: 3\n",
      "Memory efficient setup\n",
      "BO with seed: 4\n",
      "Memory efficient setup\n"
     ]
    }
   ],
   "source": [
    "optimizer_name = 'CAdam-ME'\n",
    "\n",
    "bo_extra_kw = dict(\n",
    "    optimizer = optimizer_name,\n",
    "    optimizer_kwargs = {'lr':0.1,'beta':0.08,'mu':0.9,'C_gamma':0.5,'alpha_decay':0.5,'mu_decay':0.95,'gamma2_decay':0.8},\n",
    "    acq_func = 'qCompositional' + acq_func[1:],\n",
    "    acq_func_kwargs=acq_func_kwargs\n",
    "#     verbose = 1\n",
    ")\n",
    "\n",
    "opt_regrets[optimizer_name] = bo_exp(n_trials, **bo_extra_kw, **bo_kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualise evolution of immediate log-regrets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 425,
       "width": 719
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "for opt_name, regret in opt_regrets.items():\n",
    "    plot_mean_std(num_initial + np.arange(0, q * num_acq_steps + 1, q), np.log10(regret), label=opt_name, ax=ax)\n",
    "plt.legend()\n",
    "ax.set_xlabel('Num. evaluations', fontsize=15)\n",
    "ax.set_ylabel('Immediate log-regret', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
